PyApp seems to be taking the Python world by storm, providing long-awaited click-and-run Python distribution. For developers who need a little more versatility, there’s uv. Find these tools and more ...

Python implementation of a toolkit for researchers studying electoral polarization. Features ideological and affective polarization analysis, issue salience modeling, and comprehensive statistical ...

https://www.riteshmodi.com - Data Scientist, AI and blockchain expert with proven open-source solutions on MLOps, LLMOps and GenAIOps. https://www.riteshmodi.com - Data Scientist, AI and blockchain ...

This is a fast negative-binomial distribution for Python and C++, optimised for small repeated integer counts such as those seen in single-cell RNA sequencing data, and including zero inflation.

We propose a new framework that addresses endogenous regressors using a novel conditional copula endogeneity model to capture the regressor-error dependence ...

Department of Computer Science, Metropolitan College, Boston University, Boston, MA, United States On the other hand, using MAD offers a direct measure of deviation and is more resilient to outliers.

This methodological article aims to present the type I Pareto distribution in a clear and illustrative manner for better understanding among social researchers. It also provides R scripts for ...

Cumulative Probability Distribution Functions (CDFs) Learn how to work with cumulative probability distribution functions (CDFs) for both discrete and continuous random variables. In this video, we ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Department of Mathematics, Kotebe University of Education, Addis Ababa, Ethiopia This study introduces a five-parameter continuous probability model named the Beta-Exponential-Gaussian distribution by ...